Identifying TP53 mutation carrier is critical to people with Li-Fraumeni syndrome for cancer prevention and survival improvement. A new method is needed for clinical counselors because of the limitations of current clinical criteria. LFSpro is built on a Mendelian model and estimates the TP53 mutation probability through Elston-Stewart algorithm with accuracy. Unlike previously used models, our model incorporates de novo mutation rate, which greatly improved estimation accuracy.

Project Activity

See All Activity >

Follow LFSpro

LFSpro Web Site

Other Useful Business Software
Try Google Cloud Risk-Free With $300 in Credit Icon
Try Google Cloud Risk-Free With $300 in Credit

No hidden charges. No surprise bills. Cancel anytime.

Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LFSpro!

Additional Project Details

Registered

2014-02-22